AI Agent Engineer
Posted 30 Apr 2026
Advertised as “AI Agent Engineer (Coding Agent)”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
Sekai is building the TikTok for mini apps — an AI-driven consumer platform where people create, remix, share, and play interactive content instantly.
We are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date. We are remote-first across all positions and are looking for ambitious, AI-native builders who want to help shape the next generation of consumer social products.
Here are Sekai’s download links:
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Android: https://play.google.com/store/apps/details?id=chat.sekai.app&hl=en_US
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IOS: https://apps.apple.com/us/app/sekai-create-remix-play/id6504506653
Why we're hiring
We're doubling down on creation quality and reliability. This is a key role with real ownership: you'll run the lane end-to-end and set the technical bar for agent-driven app generation. We want people who think in systems, not solutions. How do we generate fully autonomous software for recreational use? How do we generate it fast? And how do we do it tastefully? This role lives at the bleeding edge of what current AI can do — if those questions excite you, it's for you.
You will own
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Designing and owning our agent harness layer Building long-horizon agentic workflows with maximal autonomy
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Developing robust evaluation and quality loops, including eval harnesses, regression testing, and failure taxonomies
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Designing model strategy: routing, benchmarking, reliability, and cost/latency optimization Creating debuggable agent systems with tracing, metrics, alerts, and observability Researching novel approaches and shipping them to production
We're looking for
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You've built agentic systems — tool use, orchestration, retry/repair loops, context management — whether on raw provider APIs or frameworks like LangGraph, PydanticAI, Google ADK, Pi-mono, or Vercel AI SDK.
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You understand the tradeoffs well enough to know when the framework gets in your way. Experience with distributed / real-time systems
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A research-and-ship mindset: you treat open-ended problems as experiments, and you care as much about getting the result into production as discovering it Strong software engineering fundamentals, with depth in Python and/or TypeScript
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A track record of shipping and operating production systems A history of owning hard problems end to end — you can point to systems you built and the outcomes they drove, not just the tech you touched